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Transport Accessibility as an Indicator of Regional Development

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Studies on Russian Economic Development Aims and scope

Abstract—

The article examines the factors determining the transport accessibility of territories, as well as provides a brief overview of possible approaches to the calculation of the complex indicator of transport accessibility and the method of its calculation. Using this methodology, a quantitative assessment of the transport accessibility of the regions of the Russian Federation is obtained.

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Notes

  1. Cycle is a closed loop of transport links (edges) in the network.

  2. Graph is a simplified diagram-drawing of the relative positions of points (nodes) and lines of the transport network, a set of the nonempty set of vertices and sets of pairs of vertices (edges).

  3. An edge of a graph is a line connecting a pair of adjacent vertices of a graph.

  4. With the exception of Stavropol krai, Khanty-Mansi Autonomous okrug – Yugra and Yamalo-Nenets Autonomous okrug, where the following cities are chosen as the transport centers, Mineralnye Vody, Surgut and Novy Urengoy, respectively, as the most significant transport and economic centers in these areas.

  5. As of the 2nd quarter of 2018. In case of change in the number and division of administrative-territorial units, the total number of regions for calculating the indicator of transport accessibility may change.

  6. In terms of train count.

  7. It is recommended to use the transport model of road, rail and air communication with the basic parameters of infrastructure and the location of these objects to automate the optimization calculation of the shortest route.

  8. In this case, the simulation results based on the software product TMF (Transport Mobility Forecast) recommended for use by the Ministry of Digital Development, Communications and Mass Media of the Russian Federation: https://reestr.minsvyaz.ru/ reestr/126987

  9. https://yadi.sk/i/NNA-SbV46_J6rw

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Authors and Affiliations

  1. Institute of Economic Forecasting of the Russian Academy of Sciences, Moscow, Russia

    P. A. Lavrinenko

  2. Moscow State University, Moscow, Russia

    A. A. Romashina

  3. Infrastructure Economics Centre, Moscow, Russia

    P. S. Stepanov & P. A. Chistyakov

Authors
  1. P. A. Lavrinenko
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  2. A. A. Romashina
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  3. P. S. Stepanov
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  4. P. A. Chistyakov
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Correspondence to P. A. Lavrinenko.

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Translated by A. Simakova

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Lavrinenko, P.A., Romashina, A.A., Stepanov, P.S. et al. Transport Accessibility as an Indicator of Regional Development. Stud. Russ. Econ. Dev. 30, 694–701 (2019). https://doi.org/10.1134/S1075700719060091

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  • DOI: https://doi.org/10.1134/S1075700719060091

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